ABSTRACT The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged
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Abstract The increasing integration of renewable energy sources in microgrids (MGs) necessitates the use of advanced optimization techniques to ensure cost-effective and reliable power
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Ensuring reliable operation of active microgrids with critical loads, such as emergency infrastructure or energy-sensitive industries, under uncertain conditions such as unplanned grid
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Microgrids are a key technique for applying clean and renewable energy. The operation optimization of microgrids has become an important research field. This paper reviews the developments in the
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Obtaining a better understanding of the microgrid models and the type of optimization technique used by the energy management system (EMS) in microgrids (MGs) is considered as one
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In conclusion, optimizing microgrid operations using renewable energy sources presents a promising pathway toward a more sustainable and resilient energy future.
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Microgrids (MGs) provide a promising solution by enabling localized control over energy generation, storage, and distribution. This paper presents a novel reinforcement learning (RL)-based
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This paper proposes a new data-driven approach for two-stage operation of a microgrid (MG) towards optimized battery energy storage (BES) lifetime degradation. At the first stage (day-ahead), the BES
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The global transition to sustainable energy demands efficient integration of renewable resources and resilient operation of microgrids (MGs). This study aims to develop a cost-effective and
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